How to Test OpenClaw Plugins

OpenClaw plugin testing is not just unit tests around happy paths. The SDK docs list focused utilities for plugin API mocks, agent runtime contracts, channel contracts, target testing, provider contracts, HTTP mocks, environment tests, fixtures, and node builtin mocks.

30-second answer

Use the focused openclaw/plugin-sdk/* test subpaths for new plugin tests. Avoid the broad plugin-sdk/testing and plugin-sdk/test-utils barrels; the docs call them legacy compatibility surfaces and say repo guardrails reject new real imports from them.

What to test

A channel plugin should prove target resolution, delivery behavior, feedback reactions, rich presentation rendering, text fallback, rate-limit handling, and error mapping. A provider plugin should prove auth selection, request normalization, model support, fallback behavior, streaming or non-streaming response shape, and safe handling of provider failures.

Useful SDK utilities

The docs list imports for plugin API mocks, agent runtime test contracts, channel contract testing, channel test helpers, channel target testing, plugin contracts, plugin runtime tests, provider contracts, provider HTTP mocks, test environment helpers, generic fixtures, and node builtin mocks. Prefer the narrow utility that matches the behavior being tested.

Contract tests

Contract tests are especially important for extension points that users rely on across releases. If a channel claims a presentation capability, test the native rendering and the fallback. If a provider claims model support, test the catalog metadata and the request path. If a plugin participates in memory, runtime, or tool policy, test that it respects the shared contract.

HTTP and environment isolation

Provider plugins should not hit live APIs in normal test runs. Use provider HTTP mocks and environment helpers so tests are deterministic. Live smoke tests can exist, but they should be explicitly gated with environment variables and should never be required for routine CI.

Compatibility discipline

When a plugin depends on deprecated compatibility behavior, add a test that explains the migration path. That way the future removal is visible to maintainers instead of surprising operators after an OpenClaw upgrade.

Operator checklist

Before trusting a plugin in production, look for tests covering install discovery, manifest schema, config validation, disabled-plugin behavior, missing credentials, runtime registration, main success path, and at least one provider or channel failure. If the plugin can write externally, include a dry-run or mocked write path.

The OpenClaw Playbook treats plugin tests as operational insurance: they prove the extension still respects the boundaries your agents rely on when nobody is watching the terminal.

Rollout plan

Treat How to Test OpenClaw Plugins as a workflow you roll out in stages, not a switch you flip once. Start with the smallest harmless proof: a status check, dry run, local-only call, private session, or read-only inspection. Confirm the documented behavior matches your installed OpenClaw version, then write the exact commands and expected output into the workspace so the next agent does not rely on memory or vibes.

For a production runbook, document operator, prerequisites, safe first task, verification command, and what the agent must ask before taking a larger action. Also write down what the agent may do alone, what requires approval, and what must stop immediately. That boundary is the difference between useful autonomy and a workflow that surprises the operator at the worst possible time.

Keep one rollback note beside the guide. It can be as simple as the command to disable a plugin, the channel to pause, the config key to revert, or the owner who must approve the next run. Include the proof that tells you rollback worked, and keep it visible near the production checklist for future maintainers. Agents are most useful when recovery is obvious.

After the first live run, review the transcript or logs while the details are fresh. Look for missing prerequisites, stale assumptions, broad prompts, confusing errors, and any external side effect that should have been gated. Tighten the guide, then repeat with one wider scope. The OpenClaw Playbook is built around this operating rhythm: cautious first proof, written runbook, verified automation, then gradual autonomy once the evidence is boring.